Crime detection analysis using public camera

The main objective of this research work is to analyze crimes and criminals using public camera and data that will detect crimes and also it will help to locate the location of escaped criminals recorded, also will be there the recognition objects/faces that were on the crime scene if dangerous weapons also get detected even though there is no crime that is reported or being in action it will send the alert, using PYTHON 3.7.6 software. Where face recognition, has become the most important field where image processing methods are applied in video analysis. The app would include a GUI, Database to keep track of information about the person, it will have. The objects being recognized are classified as point tracking, where by moving object are represented by their features, while looking for relationships between crime elements, this could highly help with prediction of potential dangerous hotspots at a particular period of time. Therefore, the proposed approach is aimed to focus on the following three main elements of crimes data, as follows: the type of crime, the occurrence time and the crime location. The need of using video analysis is not increasing in day to day life of which motion of different behaviors nor is activities of people recorded. Automated video surveillance is one technique that is used in analyzing, recording of object in different environments. Object detection and tracking system is used as one step in the application of video surveillance. Detecting technique is used to generate the crimes and criminals in data base once an object which was registered is detected it can send an alarm hence if a criminal is also detected should also send an alarm since it can also predict crimes methods applied to the system it should help to avoid crimes and give alerts of crimes to be committed in a common place.